Introduction to Probability Distributions

This Introduction to Probability Distributions tutorial serves as an overview of what a probability distribution is and what main characteristics it has.

Before we dive deep into the different types of probabilities, we will introduce a few important terms that we will use for the remainder of our YouTube course.

365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.

We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.

#probability #distributions #datascience

[renaldipermana]

I’m so grateful to reach this channel. I regret when college i didnt find you. But now i need this lesson for skillset on data scientist at company

[elshots]

watching this with tears in my eyes i'm so confused

[sylvioros]

What amazing series! I came from social sciences and psychology and since last year I've been studying data science, machine learning. One of my biggest struggling is to find good "building blocks" materials from classic topics like time series, linear algebra, distributions. Thanks for your series on Distributions!!

[virtualboy]

This is the overview I was looking for! :"D

[madhupincha]

Highly recommended!
For all types of probability distributions

[ronborneo]

Great. You should add practice questions to challenge understanding.

[saifhassan]

wonderful, too quick and easy to understand.

[harishchalam]

Friendship is something that blooms in the shade.one who knows its value will never let it fade.

[FarhanArRafi]

There is probably an interpretation of the square of the variance. If you consider all sample data in a 2d plane, you can consider variance as the Pythagorean hypotenuse of the distance of the sample data from the mean. I know it might be a bad analogy, but that's a way of thinking that I understand.

[sukhwindersingh]

Is standard deviation has to divided by n

[awaisch]

Who said I'm having tears in my eye ?

[yash]

4:06 "smth to remember when using sample data .... different notations ... "

[mjdnader]

please turn on add Translation because i want Translate this video to arabic

[someaccount]

I feel like they recorded μ once and then simply merged sound clips wherever he needed to say it.

[Ferociouscharizard]

The marbles actually looks like mega stones 😄

[harishchalam]

True friends are like diamonds found very rare.false friends are like autumn leaves found everywhere.

[aryanrahman]

2:11 HTML is the best language for data science

[harishchalam]

Some write in pink because their love will sink. I write in blue because my love is true.

[XibalbaCuahomtec]

5:27 less data falls within the standard deviation? What did he mean by this? Haha. WTF? standard deviation encompasses 68% of the data... 2 standard deviations 95%... Do you mean the larger the standard deviation the less squished? (rather than more data)